DRE 6007 Core Issues in Research Ethics
The purpose of the course is to enhance the doctoral students’ knowledge and awareness about ethical issues they can encounter in research. It is a cased-based course, where the students get opportunities to reflect on concrete ethical challenges they are likely to meet as researchers.
The students will become familiar with the basic concepts of research ethics: Informed consent, responsible data collection and analysis, individual authorship and co-authorship, norms of collaboration, conflicts of interest, and role conflicts. From moral psychology they will gain knowledge about possible sources of research misbehavior, such as cheating, freeriding, plagiarism, and p-hacking.
During the course, the students will be invited to discuss ethical dilemmas in research, and gain experience in systematic reasoning about their options and choices in such situations. They will be introduced to an ethical toolbox for addressing and resolving ethical disagreement in research.
The course aims to give the students an understanding of the societal dimensions of research, and how their work as researchers can have practical impact on organizations and individuals.
Enrollment in a PhD programme is a general requirement for participation in PhD courses at BI Norwegian Business School.
External candidates are kindly asked to attach confirmation of enrollment in a PhD programme when signing up for a course. Other candidates may be allowed to sit in on courses by approval of the course leader. Sitting in on a course does not permit registration for the course, handing in exams or gaining credits for the course. Course certificates or confirmation letters will not be issued for sitting in on courses.
|Exam category||Weight||Invigilation||Duration||Grouping||Comment exam|
Form of assessment:
Internal examiner with external supervisor
All components must, as a main rule, be retaken during next scheduled course
|Form of assessment:||Class participation|
|Exam code:||DRE 60071|
|Grading scale:||Point scale|
|Resit:||All components must, as a main rule, be retaken during next scheduled course|
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